🏆 10+ Years Experience | AI Automation Engineer | Voice-First Intelligence Specialist Hi there! 👋 I am an AI Automation Engineer with a decade of experience in pioneering Autonomous Agents and Voice-First Intelligence. I specialize in creating digital workers that communicate, think, and execute complex business processes seamlessly across your tech stack. Core Specializations: ✅ Retell AI Voice Agents: Craft ultra-low latency, human-like voice agents for support and sales, with expertise in handling interruptions, emotional tone, and CRM integrations (GoHighLevel, HubSpot, Salesforce). ✅ Agentic Workflows: Design multi-agent systems using LangGraph and CrewAI, where AI "employees" (Researcher, Writer, Executor) autonomously achieve high-level business goals. ✅ Enterprise RAG & Memory: Implement advanced Retrieval-Augmented Generation for flawless memory of company data, eliminating "hallucinations." ✅ Autonomous Lead Ops: Connect voice agents to n8n or Zapier for instant appointment booking, follow-up communications, and pipeline updates based on call outcomes. Technical Toolbox: Voice AI: Retell AI, Vapi, ElevenLabs, Deepgram (ASR/TTS) Agent Frameworks: LangChain, LangGraph, CrewAI, AutoGen LLMs: GPT-4o, Claude 3.5 Sonnet, Llama 3 (Fine-tuning & Quantization) Automation & Data: n8n, Zapier, Pinecone (Vector DB), FastAPI, PostgreSQL Deployment: Docker, AWS SageMaker, Vercel, Railway Why Choose My Approach? Latency-First Design: Optimize pipelines for sub-second response times, ensuring natural conversations. Agent Reliability: Implement "human-in-the-loop" checkpoints and evaluation frameworks to maintain brand integrity. End-to-End Ownership: Manage everything from conversational logic and voice cloning to backend API integrations and CRM sync. Recent Success Stories: Automated Voice Sales Desk: Deployed a Retell AI agent for a real estate firm, qualifying 500+ leads weekly and increasing conversion rates by 22%. Multi-Agent Research Pipeline: Built a CrewAI team for a startup to autonomously monitor industry news and draft SEO-optimized LinkedIn posts. Customer Support Voice Bot: Developed a HIPAA-compliant voice assistant for a medical clinic, reducing front-desk workload by 60%. Ready to Automate Your Business? Whether you need a high-converting outbound voice agent or a sophisticated multi-agent system for internal operations, I have the expertise to build it. Let’s connect to architect your agentic future! Keywords: AI Automation Engineer | Voice AI Specialist | Autonomous Agents | Retell AI | CRM Integration | Agentic Workflows | Enterprise RAG | Lead Operations Automation | LLMs | Voice Cloning | FastAPI | Docker | AWS SageMaker | Multi-Agent Systems | AI Voice Agents

Expert Vetted Developer I build conversational AI systems that actually ship, scale, and hold up in production, not demos that break under real traffic. With over a decade in the industry including the last 3+ years focused on conversational AI, I have designed and deployed chatbots and voice assistants that handle millions of messages for startups and enterprise teams across the US, helping them cut support costs, automate lead capture, and run 24/7 customer interactions without adding headcount. What I bring to your project: - Conversational AI & LLM Engineering Production bots with Rasa, Dialogflow, and LangChain. RAG pipelines, intent and entity design, context handling, multi-turn flows, and LLM integrations (OpenAI, Anthropic, open-source models) wired into real business logic, not just a chat window. - Backend & APIs High-performance services in Python with FastAPI. Real-time messaging over WebSockets, Redis for caching, queues, and session state, plus Twilio for SMS, WhatsApp, and voice channels. - DevOps & Scale I ship and own the full pipeline: Docker, Kubernetes, CI/CD with GitHub Actions and Jenkins, deployed on AWS and GCP. Your bot stays fast, monitored, and online as usage grows. Why clients keep working with me: - Clear communication and predictable delivery. You always know status. - I think about cost, latency, and maintenance, not just "does it work today." - Clean, documented, handoff-ready code your team can build on. If you need a conversational AI product or a Python backend built right the first time, send me a message with what you are trying to achieve. I will tell you honestly how I would approach it and what it takes. Available for both fixed-scope projects and ongoing engagements. Skills Conversational AI, Chatbot Development, Python, FastAPI, LangChain, Rasa, Dialogflow, LLM, RAG, NLP, DevOps, Docker, Kubernetes, CI/CD, AWS, GCP, Twilio, WebSockets, Redis, API

I build AI systems that hold up in production. LLM agents, multi-agent pipelines, RAG architectures, and the automation around them, engineered with the safety boundaries and test coverage that keep them reliable once real users depend on them. I am an AI engineer with an Bachlor in Generative AI from the University of Texas at Dallas and a prior background in production software and contact-center systems integration. Over the past year I shipped work across more than 30 repositories, spanning AI agents, RAG systems, and full-stack AI products, including open-source tools published to npm. My work is grounded in real engineering discipline: spec-first design, test-first implementation, and containerized deployment with CI/CD. What sets my AI work apart is that I treat the model as one component in a system, not the whole system. The LLM proposes, deterministic code decides. That is how I build agents that can take real action without acting dangerously. 💡 What I build ⬡ AI agents and multi-agent systems with CrewAI, AutoGen, LangGraph, and LangChain that coordinate real tasks end to end ⬡ RAG pipelines with LlamaIndex, FAISS, pgvector, and sentence embeddings that ground LLMs in your own knowledge base ⬡ LLM-in-the-loop systems with hard safety boundaries, where a deterministic rule engine authorizes every action the model proposes ⬡ MCP servers that expose your tools to Claude and other agents natively over JSON-RPC ⬡ Workflow automation with n8n, Zapier, and Playwright browser automation that runs unattended with real error handling and retries ⬡ Production APIs in FastAPI, Django, and Flask, and full-stack apps in React 19 and Next.js ⬡ Provider-agnostic LLM integration across OpenAI, Anthropic, Google, Groq, Mistral, and local Ollama models behind one interface 🛠️ Selected work orch, an open-source CLI published to npm that routes prompts across multiple AI coding agents through a single interface, with budget-aware selection learned from real quota and rate-limit failures A human-in-the-loop review service for AI-authored documents: a containerized HTTP API plus an MCP server exposing 20 review tools, deployed multi-user behind OAuth An LLM trading research bot on the Binance test network, where the model reasons over market data through read-only tools and a deterministic risk engine is the only path to an order, verified live and backed by roughly 470 tests A full job-application platform: a FastAPI agent service that scouts, scores, and tailors applications across six sources, with a provider-agnostic LLM layer and Playwright auto-apply, fronted by a Next.js dashboard An autonomous server-maintenance agent packaged in Docker, and a Chrome extension that fills web forms from your own documents using a pluggable local-or-cloud AI layer 🧠 Background and research Generative AI, University Texas at Dallas. My dissertation studies whether large language models actually know what they do not know, probing model calibration and hallucination at knowledge boundaries. I also write about LLM reliability on my engineering blog. Before that I spent years in production software and contact-center systems integration with tools like Cisco Finesse, ActiveMQ, and Jira automation, so I am comfortable both building greenfield AI products and working inside existing enterprise systems. 🛠️ Core stack Languages: Python, TypeScript, Go, JavaScript AI: LangChain, LangGraph, CrewAI, AutoGen, LlamaIndex, MCP, OpenAI API, Anthropic API, Gemini, Groq, Ollama, RAG, PyTorch, Hugging Face Backend: FastAPI, Django, Flask, NestJS, Node.js Frontend: React 19, Next.js, TypeScript, Tailwind Data: PostgreSQL, SQLite, FAISS, pgvector, Redis, Firebase Infrastructure: Docker, Docker Compose, GitHub Actions, CI/CD, Nginx, VPS deployment If you need an LLM agent, a multi-agent system, a RAG pipeline, or a full-stack AI product built by someone who cares whether it still works next month, send me a message and tell me what you are building. I will tell you honestly whether I am the right fit. Keywords: AI Engineer, LLM Developer, AI Agent Development, Multi-Agent Systems, RAG Systems, LangChain, LangGraph, CrewAI, AutoGen, LlamaIndex, MCP, Model Context Protocol, OpenAI API, Anthropic Claude, Python Developer, FastAPI, Django, Next.js, React, TypeScript, LLM Integration, Prompt Engineering, Vector Databases, Workflow Automation, Playwright, Generative AI, Machine Learning, Ollama, AI Automation

Senior Software Architect (.NET + Azure + AI). I build SaaS platforms, AI-powered products, and Microsoft 365 solutions. 12+ years across .NET Core, C#, Python, OpenAI/RAG, SharePoint, and Power Platform for clients mainly in the US, Australia, the UK, and the Middle East. • 100% Job Success • Top Rated Plus • 70% repeat clients **I deliver three kinds of work at production quality:** **1. .NET & Azure SaaS Platforms** Scalable full-stack applications on .NET Core, C#, ASP.NET Core, Azure, React, Angular, Next.js, and TypeScript. I've built e-commerce systems with complex product configurators and payment gateways (Stripe, PayPal, Windcave), legal tech case management, healthcare platforms with FHIR compliance, and multi-tenant SaaS products. I own features end-to-end across database schema, API architecture, polished responsive frontends, and Azure deployment. - Production work: Clarra (legal SaaS), Europcar (fleet management, 10+ integrated apps), NTC (e-commerce with custom configurator), PsychPlus (mental health platform), and BarcodeSync (modernized warehouse management). **2. Generative AI & Intelligent Systems** Production AI applications, not experiments. RAG systems with vector search (Qdrant, Pinecone), multi-agent chatbot platforms, voice AI with real-time speech-to-speech interaction, and LLM-powered automation workflows. Direct work with OpenAI, Anthropic Claude, LangChain, and LangGraph for prompt engineering, streaming responses, structured output parsing, and agentic architectures. AI backends on FastAPI and Python with proper async patterns and scalable Azure deployment. - Shipped: Luri.ai (legal RAG), Flow AI (multi-agent WhatsApp platform), Ringlyy (AI voice calls), SFDA (bilingual regulatory chatbot), and a Medical VoiceBot with three-tier RAG fallback. **3. SharePoint, Microsoft 365 & Power Platform** SharePoint architecture (SPFx, PnP, REST, Graph API), Power Automate workflows, PowerApps (Canvas + Model-Driven), Power BI dashboards, and Azure AI integration with Microsoft 365. I've migrated legacy systems, built approval chains and document management workflows, and designed AI-enabled enterprise automation using Azure AI Foundry and Copilot. - Shipped: Delivered for ECF (SharePoint + Power Automate + Azure OpenAI), Dolphin Energy Qatar (enterprise document management), Intrazone Portal (intranet collaboration), and Simonds Homes (8,600 InfoPath form migration to Power Automate). Tech Stack ‣ Backend: C#, .NET 6/7/8, ASP.NET Core, Python, FastAPI, Django, Node.js ‣ Frontend: React, Angular, Next.js, Vue.js, TypeScript, Tailwind CSS ‣ AI/ML: OpenAI, Claude API, LangChain, LangGraph, RAG, Hugging Face, TensorFlow, scikit-learn ‣ Microsoft: SharePoint, Power Automate, Power Apps, Power BI, Graph API, Azure AI, Dynamics 365, Copilot ‣ Cloud: Microsoft Azure, AWS, Docker, Kubernetes, Azure DevOps, GitHub Actions ‣ Databases: SQL Server, PostgreSQL, MongoDB, Redis, Qdrant, Cosmos DB ‣ Integrations: Stripe, PayPal, WebRTC, FHIR, Kafka, OAuth, webhooks What you get ‣ One senior engineer covering full-stack, AI, and Microsoft enterprise. No handoffs needed. ‣ Production-tested solutions across healthcare, legal, e-commerce, and professional services. ‣ Free consultations and honest technical recommendations. ‣ Fast execution with clean, maintainable, documented code. Whether you need a .NET + Azure platform, a Microsoft 365 / SharePoint solution, or an AI-powered product, I deliver robust solutions tailored to the business problem, not the trendy tech stack.

🚀 Achieved Milestones: | 🎖 Top Rated Freelancer | 🎓 Senior Software Engineer | 👨‍💻 PHP (Core, Laravel) Developer | ✨ 9+ years of experience | 💎 100% Job Success Rate | 💲 $40K+ earned from happy customers | 💼 200+ completed jobs | 🌟 300+ Reviews on other platform all with 5 stars | 🏆 100% client satisfaction & recommendations 💡 About Me: I am a Full-Stack Software Engineer with 9+ years of experience in developing web applications, automation scripts, and server management. I specialize in building scalable, high-performance applications with modern frameworks and technologies. 🔥 My Expertise: ✅ 𝗙𝘂𝗹𝗹-𝗦𝘁𝗮𝗰𝗸 𝗪𝗲𝗯 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 (Laravel, Node.js, Next.js, Core PHP, HTML, CSS, JavaScript, Bootstrap) ✅ 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 & 𝗪𝗲𝗯 𝗦𝗰𝗿𝗮𝗽𝗶𝗻𝗴 (Python, Selenium, Scrapy, Batch, Bash) ✅ 𝗦𝗲𝗿𝘃𝗲𝗿 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁 (Linux, Apache, Nginx, Cloud Services, SSL, SSH, VNC, Domain, Hosting) ✅ 𝗔𝗣𝗜 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 & 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻 (REST, Payment APIs [Paypal, Square Inc, Stripe]) ✅ 𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁 (MySQL, MongoDB, Sqlite) ✅ 𝗪𝗲𝗯𝘀𝗶𝘁𝗲 𝗣𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲 𝗢𝗽𝘁𝗶𝗺𝗶𝘇𝗮𝘁𝗶𝗼𝗻 (Speed, SEO, Security) I am dedicated to delivering high-quality results, optimizing workflows, and ensuring my client's success. Let's connect and take your business to the next level! 🚀

Hey, I'm Waleed. For over a decade, I've been the engineer trusted by companies from BlackBerry and Ford to high-growth startups to build reliable, scalable, and secure software. With a Bachelor's from McGill and a Master's from University of Waterloo, I bring a level of discipline that helps projects ship on time, avoid costly mistakes, and perform flawlessly at scale. Whether you're a startup launching your first MVP or an established business building a critical platform, I know how to get it done right. WHAT I BUILD I am a hands-on developer specializing in turning complex requirements into clean, functional, and maintainable code. 🔥AI Agents & Agentic Platforms: Leveraging the latest technologies to build effective AI Agents for businesses and startups 🔥 Full Stack Web & Mobile Apps: Building robust platforms from scratch using React, React Native, Python, and Node.js. 🔥 AI/ML-Powered Features: Integrating AI and machine learning to create smarter, more powerful applications. 🔥 Scalable SaaS Platforms: Architecting and developing multi-tenant systems designed for growth. 🔥 Custom APIs & System Integrations: Crafting fast, secure APIs and connecting disparate systems. 🔥 Cloud Infrastructure & DevOps: Setting up automated CI/CD pipelines and managing cloud resources on AWS, GCP, & Azure. MY PROCESS I follow a structured, transparent process to ensure there are no surprises and you get exactly what you need. 1. Discovery & Planning: Clear Scope Definition & Technical Planning 2. Architecture & Design: System Architecture & Database Schema Design 3. Agile Development: Iterative, sprint-based development with regular check-ins 4. Rigorous Testing: Comprehensive testing to ensure a bug-free experience 5. Deployment: Smooth, automated deployment to the cloud 6. Handover & Support: Full code handover, documentation, and optional ongoing support CORE TECH STACK I’m comfortable with a wide variety of tech stacks and can execute beyond the ones listed below as well - but everything below is a my sweet spot 💻Frontend React, React Native, Next.js, TypeScript 💻Backend Python (Django, Flask), Node.js (Express) 💻Agentic: n8n, Python, Langchain 💻Databases PostgreSQL, MongoDB, MySQL, Redis 💻AI/ML Scikit-learn, Pandas, TensorFlow, PyTorch 💻Cloud & DevOps AWS, GCP, Azure, Docker, Kubernetes, Terraform, CI/CD HOW I WORK WITH CLIENTS When I work with clients, I understand we are going on a journey to build something together - which means communicating transparently and actively on where things stand. 🤝 Build with Confidence: My background at BlackBerry means I build everything with a focus on security, stability, and quality. You can trust that the job will be done to the highest standard. 🤝 Clear, Honest Communication: I believe in proactive updates and clear explanations. You will always know the status of your project without having to ask. 🤝 True Full-Stack Versatility: From the database to the UI, from the server to the deployment pipeline - can handle your entire technical stack, saving you the time and cost of hiring multiple specialists. 🤝 A Partner in Your Corner: I take the time to understand your business goals. My aim is to provide practical advice and build a technical foundation that supports your long-term success. I'm available to chat pretty much every day of the week. Just let me drop me a message and lets bring your vision to life!🚀

I’m a Data Scientist focused on building intelligent, real-world 𝐀𝐈 𝐬𝐲𝐬𝐭𝐞𝐦𝐬 that go beyond analysis and actually drive decisions and automation. With a strong foundation in Machine Learning, Deep Learning, and Big Data Analytics, I specialize in developing agentic AI solutions systems that can handle complex tasks, automate workflows, and operate with minimal human intervention. 𝐖𝐡𝐚𝐭 𝐈 𝐃𝐨: I design and build end-to-end AI solutions, especially for data-heavy industries like 𝐫𝐞𝐚𝐥 𝐞𝐬𝐭𝐚𝐭𝐞, where automation, data extraction, and intelligent decision-making create real business value. 𝐂𝐨𝐫𝐞 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞: 𝐀𝐠𝐞𝐧𝐭𝐢𝐜 𝐀𝐈 & 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧: Autonomous AI agents for workflow automation Multi-step task execution systems AI-driven decision support systems 𝐃𝐚𝐭𝐚 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 & 𝐏𝐫𝐨𝐜𝐞𝐬𝐬𝐢𝐧𝐠: Data Scraping & Web Automation Text Mining & Data Labelling Data Cleaning & Preprocessing ETL Pipelines (Extraction, Transformation, Loading) Data Analysis & Visualization 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 & 𝐃𝐞𝐞𝐩 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠: Predictive Modeling & Classification Systems Deep Learning Architectures (CNNs, RNNs, Transformers) Model Optimization & Deployment 𝐂𝐨𝐦𝐩𝐮𝐭𝐞𝐫 𝐕𝐢𝐬𝐢𝐨𝐧: Object Detection & Image Classification Face Recognition & Emotion Detection Image Enhancement (Super-Resolution, Stitching) Video Analysis & Activity Recognition GANs, Vision Transformers 𝐍𝐚𝐭𝐮𝐫𝐚𝐥 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞 𝐏𝐫𝐨𝐜𝐞𝐬𝐬𝐢𝐧𝐠 : Sentiment Analysis & Text Classification Topic Modeling & Text Clustering Language Translation Systems Transformer-based Models 𝐁𝐢𝐠 𝐃𝐚𝐭𝐚 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬: Distributed Data Processing (PySpark) Databricks & Azure Synapse Analytics Scalable Data Pipelines 𝐓𝐨𝐨𝐥𝐬 & 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬: 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞𝐬: Python, PHP 𝐅𝐫𝐚𝐦𝐞𝐰𝐨𝐫𝐤𝐬 & 𝐋𝐢𝐛𝐫𝐚𝐫𝐢𝐞𝐬: Pandas, NumPy, Matplotlib, Seaborn Scikit-learn, TensorFlow, Keras, PyTorch Hugging Face, SpaCy, NLTK, Gensim 𝐕𝐞𝐫𝐬𝐢𝐨𝐧 𝐂𝐨𝐧𝐭𝐫𝐨𝐥 & 𝐂𝐨𝐥𝐥𝐚𝐛𝐨𝐫𝐚𝐭𝐢𝐨𝐧: Git, GitHub, Jira 𝐀𝐩𝐩𝐫𝐨𝐚𝐜𝐡: I focus on building solutions that are not just technically sound, but practical, scalable, and aligned with real business needs. Whether it's automating workflows, extracting insights from complex data, or deploying AI systems, my goal is to deliver solutions that create measurable impact. 𝐈’𝐦 𝐚𝐥𝐰𝐚𝐲𝐬 𝐨𝐩𝐞𝐧 𝐭𝐨 𝐝𝐢𝐬𝐜𝐮𝐬𝐬𝐢𝐧𝐠 𝐢𝐧𝐧𝐨𝐯𝐚𝐭𝐢𝐯𝐞 𝐢𝐝𝐞𝐚𝐬 𝐚𝐧𝐝 𝐛𝐮𝐢𝐥𝐝𝐢𝐧𝐠 𝐢𝐦𝐩𝐚𝐜𝐭𝐟𝐮𝐥 𝐬𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬.

I am passionate about automating everything. Implemented open-source models like Gemma, MedGemma, and MedASR for healthcare use cases like SOAP note generation, homeopathy repository AI assistant, referral letter summarizer, and scribe solution. Worked on integrating 30+ EMR and EHR systems. Love JavaScript, ETL, AWS, Python. Works with various teams spread across global time zones. Worked on Epic, Athenahealth, Nextech, AdvancedMD, ModMed, Dentrix, NextGen, Veradigm, CollaborateMD, MDIntelleSys, Allscripts, DuxWare, MedEvolve, EyeMD EMR, Practice Fusion, eClinicalWorks, Eyefinity, CareCloud, Qualifacts, PatientNow, Aesthetic Record, MEDITECH, CentralReach, DrChrono, OfficeEMR, Cerner, InSync, PrognoCIS Implemented referral flow and automated voice-assisted scheduling with Retell and GoHighLevel. Implemented AI-enabled appointment booking and insurance verification with OpenClaw, GoHighLevel, AWS Textract, and BlueButton. We have successfully developed and migrated a full-fledged application built with Lovable and Supabase into a secure AWS HIPAA-compliant environment. You can focus on building applications of your choice; we handle the migration, deployment, and security, ensuring compliance and scalability. Implemented Chronic Care Management(CCM) flow enables physicians to refer a patient from Athenahealth to a third-party LIS and get back the annual wellness visit report and claims. Using Athenahealth SMART on FHIR, FHIR, and certified API's. Integrated OrbDoc, a voice scribe tool that converts voice notes into SOAP notes and sends them back to Athenahealth, and adds them to the corresponding encounter. Using Athenaheath certified API's and FHIR API. Same flow implemented in eClinicalWorks with the help of FHIR API. Implemented robotic automation to scrape patient, visit, and encounter details from Dentrix, NextGen, CollaborateMD, MDIntelleSys, DuxWare, MedEvolve, EyeMD EMR, Practice Fusion, eClinicalWorks, Eyefinity, CareCloud, Qualifacts, PatientNow, Aesthetic Record, MEDITECH, CentralReach, DrChrono, OfficeEMR, Cerner, InSync, PrognoCIS Implemented a Chrome extension to automate nurses' daily routine jobs like filling, reviewing notes for a set of patients with a click of a button. Currently, this is implemented and is successfully used in Practice Fusion. Developed a full-fledged patient intake form that helps patients complete the onboarding process entirely digital and smoother way. This is currently implemented for Athenhealth practices. Deployed the OpenEMR system for optometry practices, and further customized it with modules like referral management, bulk data import, SMART on FHIR, and DICOM viewer, while also optimizing workflows and implementing secure deployments across cloud (AWS, Azure, GCP) and on-prem environments. Implemented SMART on FHIR physician-facing app with OAuth2 launch, real-time HL7 FHIR data sync, and LLM-based AI engine for risk detection, care gap analysis, and revenue opportunity mapping. Implemented AI-powered voice agent for outbound calling and appointment scheduling using Retell and GoHighLevel (GHL) with real-time interaction and automated booking. Implemented Telegram based CareFlow Assistant for patient scheduling with real-time insurance verification using Availity API and automated CRM updates in GHL via OpenClaw workflows. Implemented end-to-end healthcare appointment automation workflow including form intake, insurance verification (Availity), EMR patient creation, scheduling, and CRM pipeline sync using Make (Integromat) and AWS Lambda. Migrated Lovable + Supabase applications into HIPAA-compliant AWS infrastructure with self-hosted Supabase, secure VPC setup, WAF, CloudFront, and Gemini-based AI edge function migration. Data Integration projects and related work ✅ Worked on Mirth Connect for the past 6 years with various healthcare integrations. ✅ Integrated EPIC Patient-facing app ✅ Integrated Sure Script secure messaging ✅ Worked on various PM/EMR/EHR integrations like Athena, Modmed, AdvancedMD, Nextgen, Nextech. ✅ AWS HIPAA environment setup and maintenance. ✅ HL7v2 - SIU, ADT, DFT bidirectional integration. ✅ EDI X12 - 270, 810, 832, 834, 837I, 837P, 847D, 850, and 855. ✅ SMART on FHIR App development and EHR launch integration using ✅ OpenVPN setup and secure access configuration. ✅ Migrated Lovable + Supabase apps to HIPAA-compliant AWS with self-hosted Supabase, VPC, ALB, WAF, CloudFront.

🟢 𝗠𝗖𝗣, 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀, 𝗥𝗔𝗚, 𝗩𝗼𝗶𝗰𝗲 𝗔𝗴𝗲𝗻𝘁𝘀 🟢 5+ 𝗬𝗲𝗮𝗿 🟢 Available now to start the project | Top 1% on StackOverflow ✅ Tech Stack & Expertise ❇️ Artificial Intelligence & Machine Learning: AI Development, Deep Learning, TensorFlow, PyTorch, Artificial Neural Networks, Generative AI, Data Science, Natural Language Processing, NLP ❇️ LLM Engineering: OpenAI, ChatGPT API Integration, OpenAI API, LLaMA 3, Mistral, Mixtral, Fine-Tuning using LoRA, QLoRA, DPO, RLHF, PEFT, LLM Prompt Engineering, AI Model Training, Vector Databases like Pinecone, Weaviate, FAISS, RAG pipelines ❇️ AI Agent Development: AI Chatbots, AI Bots, AI Classifiers, Voice AI, AI Text-to-Speech, AI Speech-to-Text, Bot Development, Deepbrain AI, CrewAI, AutoGen ❇️ Python Development: Flask, FastAPI, Django, GPT APIs, Pytest, BeautifulSoup, Selenium ❇️ Data Automation: Web Scraping, Crawling, Data Mining, Parsing, Workflow Automation Bots ❇️ Fullstack Development: JavaScript, React.js, Node.js, Express.js, MongoDB ❇️ DevOps & Cloud: Docker, Kubernetes, Ansible, GitLab CI/CD, AWS, Azure, GCP, DigitalOcean ❇️ API Development & Integration: RESTful APIs, OpenAI Embeddings, Webhooks, Secure Microservices, Stripe, Binance, Telegram, BetFair, OddsJam, Interactive Brokers 📌 Services I Offer ⚙️ Web Scraping, Data Extraction, Crawling & Mining ⚙️ Machine Learning Model Development & AI Implementation ⚙️ Deep Learning & AI Model Training Prompt Engineering ⚙️ AI App Development: AI Chatbots, AI Bots, AI Agent Development ⚙️ Natural Language Processing, AI Classifier & Generative AI Applications ⚙️ Financial Dashboard Development, Market Analysis & Automation ⚙️ Interactive Brokers / Binance / Telegram Bot Development ⚙️ Data Cleaning, Processing, Analysis & Visualization ⚙️ AI Text-to-Speech, AI Speech-to-Text, Voice AI Integration ⚙️ Workflow Automation, Custom Scripts, and Python-based Optimization 🤖 LLM & AI Engineering ➜ AI Model Development: Artificial Neural Networks, TensorFlow, PyTorch, Generative AI Apps ➜ LLM Fine-Tuning: Persona bots, Q&A systems, Legal/Medical NLP models using LLaMA 3, Mistral ➜ Synthetic Data Generation & Machine Learning Model Training ➜ LLM Prompt Engineering & Evaluation Pipelines for benchmarking ➜ AI Model Integration with OpenAI API, ChatGPT API, and OpenAI Embeddings ➜ Cloud-based AI Deployment: SkyPilot on AWS, GCP, RunPod ➜ Inference Optimization: vLLM, TGI with quantized models (AWQ, GPTQ, GGUF, GGML) ➜ AI Agent Development with CrewAI, AutoGen, Deepgram, Amazon Polly 🔌 API Integration Specialist ✔️ AI Chatbot Integration with ChatGPT API, OpenAI API & Vector Databases ✔️ Secure RESTful Architecture, OAuth, Token Authentication, Rate Limiting ✔️ Real-time Data Processing, Webhooks, Cloud Functions ✔️ Build Scalable Microservices for AI App Development 🧠 AI Agent & LLM Skillset Voice AI Agents: CrewAI, AutoGen, Deepgram, Amazon Polly LLM Training & Fine-Tuning: PEFT, LoRA, QLoRA, RLHF, DPO Frameworks & Tools: HuggingFace AutoTrain, Axolotl, Unsloth AI Classifiers & NLP: AI Model Training Prompt Engineering, AI Model Development, RAG Pipelines Generative AI Applications: AI Chatbots, AI Bots, AI App Development, Automation Workflows 💡 Specialized in Python, AI Development, and Automation, I build scalable AI applications, automate workflows, and develop advanced Machine Learning & Deep Learning models with seamless API integration. I successfully deliver WEB SCRAPING, DATA MINING, and AUTOMATION solutions using Python, BeautifulSoup, Selenium, and Playwright, leveraging anti-detect browsers and proxies to bypass restrictions. For data analysis & Data Science projects, I use Pandas, NumPy, Scikit-Learn, and TensorFlow. 📈 If you’re looking for an expert in Python + AI/ML Development, Chatbot Development, AI Agent Development, and API Integration who delivers high-quality solutions fast, Please invite me. Thanks, Jeel P.

🚀 𝐓𝐫𝐚𝐧𝐬𝐟𝐨𝐫𝐦 𝐘𝐨𝐮𝐫 𝐒𝐭𝐚𝐫𝐭𝐮𝐩 𝐈𝐝𝐞𝐚 𝐢𝐧𝐭𝐨 𝐚 𝐒𝐜𝐚𝐥𝐚𝐛𝐥𝐞 𝐀𝐩𝐩 With 9+ years of experience , I specialize in building secure, fast, and scalable web/mobile apps for startups using React, Node.js, Python, Flutter, and AI/ML. From MVP to production, I help founders turn innovative ideas into market-ready apps that attract investors and users. 𝐂𝐨𝐫𝐞 𝐒𝐞𝐫𝐯𝐢𝐜𝐞𝐬 • 𝐅𝐮𝐥𝐥 𝐒𝐭𝐚𝐜𝐤 𝐖𝐞𝐛 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 Build React.js, Next.js, Node.js, and Django apps with RESTful/GraphQL APIs, PostgreSQL/MongoDB databases, and AWS deployment. • 𝐂𝐫𝐨𝐬𝐬-𝐏𝐥𝐚𝐭𝐟𝐨𝐫𝐦 𝐌𝐨𝐛𝐢𝐥𝐞 𝐀𝐩𝐩𝐬 Launch iOS/Android apps faster with Flutter & React Native, optimized for performance and user retention. • 𝐀𝐈/𝐌𝐋 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧 𝐟𝐨𝐫 𝐒𝐭𝐚𝐫𝐭𝐮𝐩𝐬 Add smart features like predictive analytics (FinTech), recommendation engines (E-Commerce), or NLP chatbots using Python, TensorFlow, and FastAPI. • 𝐋𝐞𝐠𝐚𝐜𝐲 𝐂𝐨𝐝𝐞 𝐑𝐞𝐬𝐜𝐮𝐞 Fix poor scalability, refactor spaghetti code, and modernize outdated systems. 𝐖𝐡𝐲 𝐇𝐢𝐫𝐞 𝐌𝐞? ✅ 𝐏𝐫𝐨𝐯𝐞𝐧 𝐒𝐭𝐚𝐫𝐭𝐮𝐩 𝐄𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞: Delivered 20+ apps for E-Commerce, FinTech, Healthcare, and IoT startups. ✅ 𝐅𝐚𝐬𝐭 𝐌𝐕𝐏 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭: Get investor-ready prototypes in 4-6 weeks. ✅ 𝐓𝐫𝐚𝐧𝐬𝐩𝐚𝐫𝐞𝐧𝐭 𝐏𝐫𝐢𝐜𝐢𝐧𝐠: No hidden fees. Flat $25/hr or fixed-price contracts. ✅ 𝐑𝐢𝐬𝐤-𝐅𝐫𝐞𝐞 𝐆𝐮𝐚𝐫𝐚𝐧𝐭𝐞𝐞: Full refund if I don’t meet your expectations. 𝐒𝐭𝐚𝐫𝐭𝐮𝐩 𝐂𝐡𝐚𝐥𝐥𝐞𝐧𝐠𝐞𝐬 𝐈 𝐒𝐨𝐥𝐯𝐞 • 𝐍𝐞𝐞𝐝 𝐚𝐧 𝐌𝐕𝐏 𝐟𝐚𝐬𝐭? I deliver clean, scalable code to impress investors. • 𝐒𝐭𝐮𝐜𝐤 𝐰𝐢𝐭𝐡 𝐛𝐮𝐠𝐠𝐲 𝐥𝐞𝐠𝐚𝐜𝐲 𝐜𝐨𝐝𝐞? I refactor and optimize for future growth. • 𝐓𝐡𝐢𝐫𝐝-𝐩𝐚𝐫𝐭𝐲 𝐀𝐏𝐈𝐬 𝐟𝐚𝐢𝐥𝐢𝐧𝐠? I design custom REST/GraphQL APIs for seamless integration. • 𝐒𝐥𝐨𝐰 𝐚𝐩𝐩 𝐩𝐞𝐫𝐟𝐨𝐫𝐦𝐚𝐧𝐜𝐞? I optimize databases, caching, and UI/UX for speed. 𝐈𝐧𝐝𝐮𝐬𝐭𝐫𝐢𝐞𝐬 𝐈 𝐒𝐞𝐫𝐯𝐞 • E-Commerce & SaaS Platforms • FinTech & Stock Trading Apps • Healthcare & Telemedicine Tools • Food Delivery & Logistics Software • IoT & Smart Device Ecosystems 𝐓𝐞𝐜𝐡𝐧𝐢𝐜𝐚𝐥 𝐒𝐭𝐚𝐜𝐤 𝐅𝐫𝐨𝐧𝐭𝐞𝐧𝐝: React.js, Next.js, Flutter, React Native 𝐁𝐚𝐜𝐤𝐞𝐧𝐝: Node.js, ROR, Django, FastAPI, Flask 𝐀𝐈/𝐌𝐋: Python, TensorFlow, PyTorch, OpenAI 𝐃𝐚𝐭𝐚𝐛𝐚𝐬𝐞𝐬: PostgreSQL, MySQL, MongoDB 𝐃𝐞𝐯𝐎𝐩𝐬: AWS, Docker, CI/CD Pipelines 📩 𝐌𝐞𝐬𝐬𝐚𝐠𝐞 𝐌𝐞 𝐍𝐨𝐰 – 𝐋𝐞𝐭’𝐬 𝐁𝐮𝐢𝐥𝐝 𝐘𝐨𝐮𝐫 𝐀𝐩𝐩 𝐢𝐧 𝟑𝟎 𝐃𝐚𝐲𝐬! Average response time: 15 minutes.